| Autor: |
Chen Q; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Fan R; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Song L; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Wang S; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., You M; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Cai M; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Wu Y; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Li Y; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China., Xu M; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China. xumeihong@bjmu.edu.cn.; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing 100191, China. |
| Abstrakt: |
Currently, sleep disorders (SD) in the elderly are gaining prominence globally and are becoming a significant public health concern. Methyl donor nutrients (MDNs), such as vitamin B 6 , vitamin B 12 , folate, and choline, have been reported to have the potential to improve sleep disorders. Moreover, MDNs help to maintain gut flora homeostasis, and are closely associated with the development of SD. Nevertheless, there has been a lack of comprehensive human studies examining the association between MDNs intake and SD. In our study, we comprehensively evaluated the association between MDNs intake and SD in the elderly and used 16S rRNA gene sequencing to explore the underlying mechanism. We found that the SD group ( n = 91) had a lower methyl-donor nutritional quality index (MNQI) and a trend toward lower intake compared to the control group ( n = 147). Based on the intestinal microbiome, the beta diversity of the intestinal flora was higher in the high methyl-donor nutritional quality (HQ) group compared to the low methyl-donor nutritional quality (LQ) group, and it was lower in the SD group compared to the control group. This suggests that MDNs may regulate sleep by modulating the abundance distribution of the microbiota. Subsequently, we performed correlation analyses between the relative abundance of the microbiota, MDNs intake, and the Pittsburgh Sleep Quality Index (PSQI), identifying five genera with potential regulatory roles. The KEGG pathway analysis indicated that energy metabolism and one-carbon metabolism might be the pathways through which MDNs modulate sleep. This study offers dietary guidance strategies for managing SD in the elderly and provides insights for targeted microbiota intervention. |
